Title Statements
- Full title :Negative binomial regression / Joseph M. Hilbe.
Summary
At last - a book devoted to the negative binomial model and its many variations. Every model currently offered in commercial statistical software packages is discussed in detail - how each is derived, how each resolves a distributional problem, and numerous examples of their application. Many have never before been thoroughly examined in a text on count response models: the canonical negative binomial; the NB-P model, where the negative binomial exponent is itself parameterized; and negative binomial mixed models. As the models address violations of the distributional assumptions of the basic Poisson model, identifying and handling overdispersion is a unifying theme. For practising researchers and statisticians who need to update their knowledge of Poisson and negative binomial models, the book provides a comprehensive overview of estimating methods and algorithms used to model counts, as well as specific guidelines on modeling strategy and how each model can be analyzed to access goodness-of-fit.
Read More ↓Edition Statements
- Publication Date:2007
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge
- Language:eng
- Publication Date:2007
Notes
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
The Physical Object
- Description:1 online resource (xii, 251 Seiten)
Edition Identifiers
- ISBN:9780511811852, 0511811853, 9780521857727, 0521857724, 9780521674447, 0521674441
- DOI:10.1017/CBO9780511811852
- oclc:ocn967602857
- LC Classification:QA161.B5
- Dewey Decimal:519.24
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